GPU Performance Modeling Driver Engineer
San Diego, California, United States
Hardware
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We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures in iPhone, iPad and Mac products. We rely on strong analytical skills and close collaboration to deliver the best overall solution to our customers. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting highly performant products to millions of customers quickly. This is an opportunity to join Apple’s world-class GPU team to collaborate, develop and improve GPU simulators for research, performance analysis, and architectural tuning.
Key Qualifications
- Strong software skills and proficiency in writing and debugging C/C++ code
- Graphics API familiarity with Metal, DirectX, Vulkan, or OpenGL
- Knowledge of drivers and implementation details of graphics and compute APIs
- Experience working with cutting edge graphics applications/games/benchmarks
- Strong interpersonal skills and creativity to help the team solve complex design challenges
- Familiarity with compilers and GPU/CPU architecture is a plus
Description
As part of the Platform Architecture GPU Modeling team, you will be working with architecture, design and software partners on the definition and tuning of Apple’s future GPU architectures.
The role involves the creation and maintenance of C++ code modeling the software stack for next gen GPUs. You will be responsible for implementing new and existing Metal APIs to interact with a functional and performance model of the GPU. Implementing a custom driver stack to allow the model to interact with modern workloads using ray tracing, mesh shading, and more, is critical to evaluation of new GPU features. You will collaborate with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments and analyzing results.
Education & Experience
BS and a minimum of 10 years relevant industry experience. MS or PhD in Computer Science, Electrical Engineering or Computer Engineering is preferred.